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Using epigenetic networks for the analysis of movement associated with levodopa therapy for Parkinson's disease

Turner, Alexander P.; Lones, Michael A.; Trefzer, Martin A.; Smith, Stephen L.; Jamieson, Stuart; Alty, Jane E.; Cosgrove, Jeremy; Tyrrell, Andy M.

Authors

Alexander P. Turner

Michael A. Lones

Martin A. Trefzer

Stephen L. Smith

Stuart Jamieson

Jane E. Alty

Jeremy Cosgrove

Andy M. Tyrrell



Abstract

© 2016 The Author(s) Levodopa is a drug that is commonly used to treat movement disorders associated with Parkinson's disease. Its dosage requires careful monitoring, since the required amount changes over time, and excess dosage can lead to muscle spasms known as levodopa-induced dyskinesia. In this work, we investigate the potential for using epiNet, a novel artificial gene regulatory network, as a classifier for monitoring accelerometry time series data collected from patients undergoing levodopa therapy. We also consider how dynamical analysis of epiNet classifiers and their transitions between different states can highlight clinically useful information which is not available through more conventional data mining techniques. The results show that epiNet is capable of discriminating between different movement patterns which are indicative of either insufficient or excessive levodopa.

Citation

Turner, A. P., Lones, M. A., Trefzer, M. A., Smith, S. L., Jamieson, S., Alty, J. E., …Tyrrell, A. M. (2016). Using epigenetic networks for the analysis of movement associated with levodopa therapy for Parkinson's disease. BioSystems, 146, 35-42. https://doi.org/10.1016/j.biosystems.2016.05.005

Journal Article Type Article
Acceptance Date May 10, 2016
Online Publication Date Jun 24, 2016
Publication Date 2016-08
Deposit Date Feb 14, 2017
Publicly Available Date Mar 29, 2024
Journal Biosystems
Print ISSN 0303-2647
Electronic ISSN 1872-8324
Publisher Elsevier
Peer Reviewed Peer Reviewed
Volume 146
Pages 35-42
DOI https://doi.org/10.1016/j.biosystems.2016.05.005
Keywords Epigenetics, Artificial gene regulatory networks, EpiNet, Classification, Parkinson's disease
Public URL https://hull-repository.worktribe.com/output/448337
Publisher URL http://www.sciencedirect.com/science/article/pii/S0303264716300582
Additional Information This article is maintained by: Elsevier; Article Title: Using epigenetic networks for the analysis of movement associated with levodopa therapy for Parkinson's disease; Journal Title: Biosystems; CrossRef DOI link to publisher maintained version: http://dx.doi.org/10.1016/j.biosystems.2016.05.005; Content Type: article; Copyright: © 2016 The Author(s). Published by Elsevier Ireland Ltd.

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